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Releases: MICS-Lab/pard

v0.7.0.1

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@JasonMendoza2008 JasonMendoza2008 released this 08 Oct 09:54

Stable version with Pairwise Distance, Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), EMPAR (Exchange Matrix derived from PARameters) score and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

v0.7.0.0

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@JasonMendoza2008 JasonMendoza2008 released this 31 May 20:18

Stable version with Pairwise Distance, Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), EMPAR (Exchange Matrix derived from PARameters) score and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

v0.5.0.0

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@JasonMendoza2008 JasonMendoza2008 released this 16 May 13:52

Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

v0.4.0.0

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@JasonMendoza2008 JasonMendoza2008 released this 27 Feb 17:21

Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score computations supported, and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

v0.3.0.0

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@JasonMendoza2008 JasonMendoza2008 released this 28 Nov 15:01

Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score computations supported, and 3 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

0.2.0.1

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@JasonMendoza2008 JasonMendoza2008 released this 23 Aug 22:16

Stable version with Sneath, Miyata, Epstein, Grantham distances and Experimental exchangeability score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

0.1.7.1

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@JasonMendoza2008 JasonMendoza2008 released this 23 Aug 16:09

Stable version with Sneath, Miyata, Epstein, Grantham distances and Experimental exchangeability score computations supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.

0.1.6.2

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@JasonMendoza2008 JasonMendoza2008 released this 21 Aug 10:11

Stable version with both Grantham & Sneath distance computations supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files is not ideal.

0.1.4b

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@JasonMendoza2008 JasonMendoza2008 released this 20 Aug 22:54

First clean & stable version. Only supports Grantham.